000131271 001__ 131271
000131271 005__ 20240207154753.0
000131271 0247_ $$2doi$$a10.1016/j.measurement.2018.10.012
000131271 0248_ $$2sideral$$a108744
000131271 037__ $$aART-2019-108744
000131271 041__ $$aeng
000131271 100__ $$0(orcid)0000-0002-1093-8233$$aPérez, P.$$uUniversidad de Zaragoza
000131271 245__ $$aInfluence of laser tracker noise on the uncertainty of machine tool volumetric verification using the Monte Carlo method
000131271 260__ $$c2019
000131271 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131271 5203_ $$aVerification of workpieces is typically performed in the post-process with coordinate measuring machines, thereby increasing the manufacturing cycle time. However, machine tools presently can perform contact measuring operations by using a probe. Moreover, there is a growing need for in-process inspection of workpieces. Therefore, using the machine tool itself for the verification whilst the workpiece remains clamped to the machine can lead to an improvement in manufacturing efficiency, cost reduction, higher energy saving and better equipment productivity. However, the use of touch probes as a measurement tool in manufacturing requires some preparatory works. Firstly, the accuracy of the machine tool should be improved to reduce the influence of its geometric errors. Secondly, the uncertainties in calibration and measuring procedure should be determined to obtain the measurement uncertainty. This study presents a new tool that can analyse the effect of different verification parameters in calibration uncertainty based on Monte Carlo method. On the basis of the actual tests performed on a milling machine and its geometric errors, the effect of laser tracker measurement noise in calibration uncertainty is investigated.
000131271 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/BES-2014-070480$$9info:eu-repo/grantAgreement/ES/MINECO/DPI2013-46979-C2-1-P
000131271 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000131271 590__ $$a3.364$$b2019
000131271 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b13 / 64 = 0.203$$c2019$$dQ1$$eT1
000131271 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b22 / 91 = 0.242$$c2019$$dQ1$$eT1
000131271 592__ $$a0.367$$b2019
000131271 593__ $$aApplied Mathematics$$c2019$$dQ2
000131271 593__ $$aStatistics and Probability$$c2019$$dQ2
000131271 593__ $$aCondensed Matter Physics$$c2019$$dQ2
000131271 593__ $$aEducation$$c2019$$dQ2
000131271 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000131271 700__ $$0(orcid)0000-0001-8689-6482$$aAguado, S.$$uUniversidad de Zaragoza
000131271 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez, J.A.$$uUniversidad de Zaragoza
000131271 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria, J.$$uUniversidad de Zaragoza
000131271 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000131271 773__ $$g133 (2019), 81-90$$pMeasurement$$tMEASUREMENT$$x0263-2241
000131271 8564_ $$s1383965$$uhttps://zaguan.unizar.es/record/131271/files/texto_completo.pdf$$yPostprint
000131271 8564_ $$s2284159$$uhttps://zaguan.unizar.es/record/131271/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000131271 909CO $$ooai:zaguan.unizar.es:131271$$particulos$$pdriver
000131271 951__ $$a2024-02-07-14:36:24
000131271 980__ $$aARTICLE